| // This file is part of Eigen, a lightweight C++ template library |
| // for linear algebra. |
| // |
| // Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com> |
| // |
| // This Source Code Form is subject to the terms of the Mozilla |
| // Public License v. 2.0. If a copy of the MPL was not distributed |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. |
| |
| #ifndef EIGEN_CXX11_TENSOR_TENSOR_ASSIGN_H |
| #define EIGEN_CXX11_TENSOR_TENSOR_ASSIGN_H |
| |
| |
| namespace Eigen { |
| |
| /** \class TensorAssign |
| * \ingroup CXX11_Tensor_Module |
| * |
| * \brief The tensor assignment class. |
| * |
| * This class is responsible for triggering the evaluation of the expressions |
| * used on the lhs and rhs of an assignment operator and copy the result of |
| * the evaluation of the rhs expression at the address computed during the |
| * evaluation lhs expression. |
| * |
| * TODO: vectorization. For now the code only uses scalars |
| * TODO: parallelisation using multithreading on cpu, or kernels on gpu. |
| */ |
| namespace internal { |
| |
| template<typename Derived1, typename Derived2> |
| struct TensorAssign |
| { |
| typedef typename Derived1::Index Index; |
| EIGEN_DEVICE_FUNC |
| static inline void run(Derived1& dst, const Derived2& src) |
| { |
| TensorEvaluator<Derived1> evalDst(dst); |
| TensorEvaluator<Derived2> evalSrc(src); |
| const Index size = dst.size(); |
| for(Index i = 0; i < size; ++i) { |
| evalDst.coeffRef(i) = evalSrc.coeff(i); |
| } |
| } |
| }; |
| |
| |
| } // end namespace internal |
| |
| } // end namespace Eigen |
| |
| #endif // EIGEN_CXX11_TENSOR_TENSOR_ASSIGN_H |